Latest AI and machine learning research in urology for healthcare professionals.
INTRODUCTION: Robot-assisted laparoscopic surgery has been performed in various fields, especially i...
INTRODUCTION: The development of robot-assisted urological surgery is held back by the lack of robus...
PURPOSE: To investigate the diagnostic performance of a deep convolutional neural network for differ...
Image-guidance during partial nephrectomy enables navigation within the operative field alongside a ...
To evaluate potential factors associated with the risk of perioperative blood transfusion (PBT) with...
BACKGROUND: Many centres deny obese patients with a body mass index (BMI) >35 access to kidney trans...
BACKGROUND: To report the surgical techniques and results of robot-assisted radical cystectomy (RARC...
BACKGROUD: Cancer stemness is associated with metastases in kidney renal clear cell carcinoma (KIRC)...
Regular screening for the early detection of common chronic diseases might benefit from the use of d...
Kidney stones are a common complaint worldwide, causing many people to admit to emergency rooms with...
Deep convolutional networks have become a powerful tool for medical imaging diagnostic. In pathology...
The objective is to evaluate the effect of robot-assisted radical prostatectomy (RARP)-related posto...
Clinical workflows in oncology depend on predictive and prognostic biomarkers. However, the growing ...
Methods for estimating heterogeneous treatment effect in observational data have largely focused on ...
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to...
Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them ha...
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately...
Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requ...
The influence of the console surgeon on the feasibility and outcome of various robot-assisted surger...